An efficient optimizing model for determining thinning regime and rotation age using the stand projection system growth simulator PublicDeposited

Descriptions

The PATH algorithm, which is the efficient dynamic
programming algorithm developed by Paredes and Brodie
(1987) was interpreted from a different point of view.
This modification of the PATH algorithm by the calculus of
variations vastly diminished the calculation task and
memory required to store optimal stands at each stage.
Using the PATH algorithm, a new dynamic programming
model called Stand Optimization System (SOS) was
developed. The system was incorporated into a growth
simulator constructed by Arney (1985). This model
optimizes timing, intensity, and type of thinning as well
as rotation age based on either physical units (basal
area, cubic feet, merchantable cubic feet, merchantable
board feet), present net worth, or soil expectation value.
An economic analysis with Stand Optimization System
was performed so as to evaluate the impacts of interest
rate, quality premium and type of thinning.
Finally, further limitation of optimality on the PATH
algorithm and the relationship between the Lagrange
multiplier and the decision variable were discussed.